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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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algorithms based on neural activity data (local field potentials, LFPs) from key deep brain stimulation targets including the basal ganglia and thalamus. Auxiliary data available to implanted devices include
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York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. Your teaching Teaching will be a small but valuable part of
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around the world, for example at the University of Cambridge, University of Oxford, University of Sydney, University of Newcastle and Aalto University. We offer all our PhD students the opportunity to get
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international partners including the Center for Computational Mathematics at the Flatiron Institute in New York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab